Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Mastering Python Design Patterns

You're reading from   Mastering Python Design Patterns Craft essential Python patterns by following core design principles

Arrow left icon
Product type Paperback
Published in May 2024
Publisher Packt
ISBN-13 9781837639618
Length 296 pages
Edition 3rd Edition
Languages
Arrow right icon
Authors (2):
Arrow left icon
Kamon Ayeva Kamon Ayeva
Author Profile Icon Kamon Ayeva
Kamon Ayeva
Sakis Kasampalis Sakis Kasampalis
Author Profile Icon Sakis Kasampalis
Sakis Kasampalis
Arrow right icon
View More author details
Toc

Table of Contents (17) Chapters Close

Preface 1. Part 1: Start with Principles FREE CHAPTER
2. Chapter 1: Foundational Design Principles 3. Chapter 2: SOLID Principles 4. Part 2: From the Gang of Four
5. Chapter 3: Creational Design Patterns 6. Chapter 4: Structural Design Patterns 7. Chapter 5: Behavioral Design Patterns 8. Part 3: Beyond the Gang of Four
9. Chapter 6: Architectural Design Patterns 10. Chapter 7: Concurrency and Asynchronous Patterns 11. Chapter 8: Performance Patterns 12. Chapter 9: Distributed Systems Patterns 13. Chapter 10: Patterns for Testing 14. Chapter 11: Python Anti-Patterns 15. Index 16. Other Books You May Enjoy

The Cache-Aside pattern

In situations where data is more frequently read than updated, applications use a cache to optimize repeated access to information stored in a database or data store. In some systems, that type of caching mechanism is built in and works automatically. When this is not the case, we must implement it in the application ourselves, using a caching strategy that is suitable for the particular use case.

One such strategy is called Cache-Aside, where, to improve performance, we store frequently accessed data in a cache, reducing the need to fetch data from the data store repeatedly.

Real-world examples

We can cite the following examples in the software realm:

  • Memcached is commonly used as a cache server. It is a popular in-memory key-value store for small chunks of data from the results of database calls, API calls, or HTML page content.
  • Redis is another server solution that is used for cache. Nowadays, it is my go-to server for caching or application...
lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at €18.99/month. Cancel anytime